Understanding digital signal processing

Format:

Book

Author/Creator:

Lyons, Richard G., Author.

Language:

English

Subjects (All):

Signal processing--Digital techniques.

Signal processing.

Physical Description:

1 online resource (xxiii, 954 p.) : ill.

Edition:

3rd ed.

Place of Publication:

[Place of publication not identified] Prentice Hall 2011

Language Note:

English

System Details:

text file

Summary:

Amazon.com ’s Top-Selling DSP Book for Seven Straight Years—Now Fully Updated! Understanding Digital Signal Processing, Third Edition, is quite simply the best resource for engineers and other technical professionals who want to master and apply today’s latest DSP techniques. Richard G. Lyons has updated and expanded his best-selling second edition to reflect the newest technologies, building on the exceptionally readable coverage that made it the favorite of DSP professionals worldwide. He has also added hands-on problems to every chapter, giving students even more of the practical experience they need to succeed. Comprehensive in scope and clear in approach, this book achieves the perfect balance between theory and practice, keeps math at a tolerable level, and makes DSP exceptionally accessible to beginners without ever oversimplifying it. Readers can thoroughly grasp the basics and quickly move on to more sophisticated techniques. This edition adds extensive new coverage of FIR and IIR filter analysis techniques, digital differentiators, integrators, and matched filters. Lyons has significantly updated and expanded his discussions of multirate processing techniques, which are crucial to modern wireless and satellite communications. He also presents nearly twice as many DSP Tricks as in the second edition—including techniques even seasoned DSP professionals may have overlooked. Coverage includes New homework problems that deepen your understanding and help you apply what you’ve learned Practical, day-to-day DSP implementations and problem-solving throughout Useful new guidance on generalized digital networks, including discrete differentiators, integrators, and matched filters Clear descriptions of statistical measures of signals, variance reduction by averaging, and real-world signal-to-noise ratio (SNR) computation A significantly expanded chapter on sample rate conversion (multirate systems) and associated filtering techniques New guidance on implementing fast convolution, IIR filter scaling, and more Enhanced coverage of analyzing digital filter behavior and performance for diverse communications and biomedical applications Discrete sequences/systems, periodic sampling, DFT, FFT, finite/infinite impulse response filters, quadrature (I/Q) processing, discrete Hilbert transforms, binary number formats, and much more

Contents:

Cover

Contents

Preface

About The Author

1 Discrete Sequences And Systems

1.1 Discrete Sequences And Their Notation

1.2 Signal Amplitude, Magnitude, Power

1.3 Signal Processing Operational Symbols

1.4 Introduction To Discrete Linear Time-Invariant Systems

1.5 Discrete Linear Systems

1.6 Time-Invariant Systems

1.7 The Commutative Property Of Linear Time-Invariant Systems

1.8 Analyzing Linear Time-Invariant Systems

References

Chapter 1 Problems

2 Periodic Sampling

2.1 Aliasing: Signal Ambiguity In The Frequency Domain

2.2 Sampling Lowpass Signals

2.3 Sampling Bandpass Signals

2.4 Practical Aspects Of Bandpass Sampling

Chapter 2 Problems

3 The Discrete Fourier Transform

3.1 Understanding The Dft Equation

3.2 Dft Symmetry

3.3 Dft Linearity

3.4 Dft Magnitudes

3.5 Dft Frequency Axis

3.6 Dft Shifting Theorem

3.7 Inverse Dft

3.8 Dft Leakage

3.9 Windows

3.10 Dft Scalloping Loss

3.11 Dft Resolution, Zero Padding, And Frequency-Domain Sampling

3.12 Dft Processing Gain

3.13 The Dft Of Rectangular Functions

3.14 Interpreting The Dft Using The Discrete-Time Fourier Transform

Chapter 3 Problems

4 The Fast Fourier Transform

4.1 Relationship Of The Fft To The Dft

4.2 Hints On Using Ffts In Practice

4.3 Derivation Of The Radix-2 Fft Algorithm

4.4 Fft Input/Output Data Index Bit Reversal

4.5 Radix-2 Fft Butterfly Structures

4.6 Alternate Single-Butterfly Structures

Chapter 4 Problems

5 Finite Impulse Response Filters

5.1 An Introduction To Finite Impulse Response (Fir) Filters

5.2 Convolution In Fir Filters

5.3 Lowpass Fir Filter Design

5.4 Bandpass Fir Filter Design

5.5 Highpass Fir Filter Design

5.6 Parks-Mcclellan Exchange Fir Filter Design Method.

5.7 Half-Band Fir Filters

5.8 Phase Response Of Fir Filters

5.9 A Generic Description Of Discrete Convolution

5.10 Analyzing Fir Filters

Chapter 5 Problems

6 Infinite Impulse Response Filters

6.1 An Introduction To Infinite Impulse Response Filters

6.2 The Laplace Transform

6.3 The Z-Transform

6.4 Using The Z-Transform To Analyze Iir Filters

6.5 Using Poles And Zeros To Analyze Iir Filters

6.6 Alternate Iir Filter Structures

6.7 Pitfalls In Building Iir Filters

6.8 Improving Iir Filters With Cascaded Structures

6.9 Scaling The Gain Of Iir Filters

6.10 Impulse Invariance Iir Filter Design Method

6.11 Bilinear Transform Iir Filter Design Method

6.12 Optimized Iir Filter Design Method

6.13 A Brief Comparison Of Iir And Fir Filters

Chapter 6 Problems

7 Specialized Digital Networks And Filters

7.1 Differentiators

7.2 Integrators

7.3 Matched Filters

7.4 Interpolated Lowpass Fir Filters

7.5 Frequency Sampling Filters: The Lost Art

Chapter 7 Problems

8 Quadrature Signals

8.1 Why Care About Quadrature Signals?

8.2 The Notation Of Complex Numbers

8.3 Representing Real Signals Using Complex Phasors

8.4 A Few Thoughts On Negative Frequency

8.5 Quadrature Signals In The Frequency Domain

8.6 Bandpass Quadrature Signals In The Frequency Domain

8.7 Complex Down-Conversion

8.8 A Complex Down-Conversion Example

8.9 An Alternate Down-Conversion Method

Chapter 8 Problems

9 The Discrete Hilbert Transform

9.1 Hilbert Transform Definition

9.2 Why Care About The Hilbert Transform?

9.3 Impulse Response Of A Hilbert Transformer

9.4 Designing A Discrete Hilbert Transformer

9.5 Time-Domain Analytic Signal Generation

9.6 Comparing Analytical Signal Generation Methods

References.

Chapter 9 Problems

10 Sample Rate Conversion

10.1 Decimation

10.2 Two-Stage Decimation

10.3 Properties Of Downsampling

10.4 Interpolation

10.5 Properties Of Interpolation

10.6 Combining Decimation And Interpolation

10.7 Polyphase Filters

10.8 Two-Stage Interpolation

10.9 Z-Transform Analysis Of Multirate Systems

10.10 Polyphase Filter Implementations

10.11 Sample Rate Conversion By Rational Factors

10.12 Sample Rate Conversion With Half-Band Filters

10.13 Sample Rate Conversion With Ifir Filters

10.14 Cascaded Integrator-Comb Filters

Chapter 10 Problems

11 Signal Averaging

11.1 Coherent Averaging

11.2 Incoherent Averaging

11.3 Averaging Multiple Fast Fourier Transforms

11.4 Averaging Phase Angles

11.5 Filtering Aspects Of Time-Domain Averaging

11.6 Exponential Averaging

Chapter 11 Problems

12 Digital Data Formats And Their Effects

12.1 Fixed-Point Binary Formats

12.2 Binary Number Precision And Dynamic Range

12.3 Effects Of Finite Fixed-Point Binary Word Length

12.4 Floating-Point Binary Formats

12.5 Block Floating-Point Binary Format

Chapter 12 Problems

13 Digital Signal Processing Tricks

13.1 Frequency Translation Without Multiplication

13.2 High-Speed Vector Magnitude Approximation

13.3 Frequency-Domain Windowing

13.4 Fast Multiplication Of Complex Numbers

13.5 Efficiently Performing The Fft Of Real Sequences

13.6 Computing The Inverse Fft Using The Forward Fft

13.7 Simplified Fir Filter Structure

13.8 Reducing A/D Converter Quantization Noise

13.9 A/D Converter Testing Techniques

13.10 Fast Fir Filtering Using The Fft

13.11 Generating Normally Distributed Random Data

13.12 Zero-Phase Filtering

13.13 Sharpened Fir Filters

13.14 Interpolating A Bandpass Signal.

13.15 Spectral Peak Location Algorithm

13.16 Computing Fft Twiddle Factors

13.17 Single Tone Detection

13.18 The Sliding Dft

13.19 The Zoom Fft

13.20 A Practical Spectrum Analyzer

13.21 An Efficient Arctangent Approximation

13.22 Frequency Demodulation Algorithms

13.23 Dc Removal

13.24 Improving Traditional Cic Filters

13.25 Smoothing Impulsive Noise

13.26 Efficient Polynomial Evaluation

13.27 Designing Very High-Order Fir Filters

13.28 Time-Domain Interpolation Using The Fft

13.29 Frequency Translation Using Decimation

13.30 Automatic Gain Control (Agc)

13.31 Approximate Envelope Detection

13.32 A Quadrature Oscillator

13.33 Specialized Exponential Averaging

13.34 Filtering Narrowband Noise Using Filter Nulls

13.35 Efficient Computation Of Signal Variance

13.36 Real-Time Computation Of Signal Averages And Variances

13.37 Building Hilbert Transformers From Half-Band Filters

13.38 Complex Vector Rotation With Arctangents

13.39 An Efficient Differentiating Network

13.40 Linear-Phase Dc-Removal Filter

13.41 Avoiding Overflow In Magnitude Computations

13.42 Efficient Linear Interpolation

13.43 Alternate Complex Down-Conversion Schemes

13.44 Signal Transition Detection

13.45 Spectral Flipping Around Signal Center Frequency

13.46 Computing Missing Signal Samples

13.47 Computing Large Dfts Using Small Ffts

13.48 Computing Filter Group Delay Without Arctangents

13.49 Computing A Forward And Inverse Fft Using A Single Fft

13.50 Improved Narrowband Lowpass Iir Filters

13.51 A Stable Goertzel Algorithm

A: The Arithmetic Of Complex Numbers

A.1 Graphical Representation Of Real And Complex Numbers

A.2 Arithmetic Representation Of Complex Numbers

A.3 Arithmetic Operations Of Complex Numbers.

A.4 Some Practical Implications Of Using Complex Numbers

B: Closed Form Of A Geometric Series

C: Time Reversal And The Dft

D: Mean,Variance, And Standard Deviation

D.1 Statistical Measures

D.2 Statistics Of Short Sequences

D.3 Statistics Of Summed Sequences

D.4 Standard Deviation (Rms) Of A Continuous Sinewave

D.5 Estimating Signal-To-Noise Ratios

D.6 The Mean And Variance Of Random Functions

D.7 The Normal Probability Density Function

E: Decibels (Db And Dbm)

E.1 Using Logarithms To Determine Relative Signal Power

E.2 Some Useful Decibel Numbers

E.3 Absolute Power Using Decibels

F: Digital Filter Terminology

G: Frequency Sampling Filter Derivations

G.1 Frequency Response Of A Comb Filter

G.2 Single Complex Fsf Frequency Response

G.3 Multisection Complex Fsf Phase

G.4 Multisection Complex Fsf Frequency Response

G.5 Real Fsf Transfer Function

G.6 Type-Iv Fsf Frequency Response

H: Frequency Sampling Filter Design Tables

I: Computing Chebyshev Window Sequences

I.1 Chebyshev Windows For Fir Filter Design

I.2 Chebyshev Windows For Spectrum Analysis

Index.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

ISBN:

9786612888779

9781282888777

1282888773

9780137028504

0137028504

OCLC:

1027161958